Abstract
One of the major current issues in Artificial Life is the decision modeling problem (also known as goal selection or action selection). Recently, some Artificial Intelligence (AI) techniques have been proposed to tackle this problem. This paper introduces a new based-on-Artificial-Intelligence framework for decision modeling. The framework is applied to generate realistic animations of virtual avatars evolving autonomously within a 3D environment and being able to follow intelligent behavioral patterns from the point of view of a human observer. Two examples of its application to different scenarios are also briefly reported.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Funge, J., Tu, X., Terzopoulos, D.: Cognitive modeling: knowledge, reasoning and planning for intelligent characters. In: SIGGRAPH’99, pp. 29–38 (1999)
Geiger, C., Latzel, M.: Prototyping of complex plan based behavior for 3D actors. In: Fourth Int. Conf. on Autonomous Agents, pp. 451–458. ACM Press, New York (2000)
Granieri, J.P., Becket, W., Reich, B.D., Crabtree, J., Badler, N.I.: Behavioral control for real-time simulated human agents. In: Symposium on Interactive 3D Graphics, pp. 173–180. ACM, New York (1995)
Grzeszczuk, R., Terzopoulos, D., Hinton, G.: NeuroAnimator: fast neural network emulation and control of physics-based models. In: SIGGRAPH’98, pp. 9–20 (1998)
Iglesias, A., Luengo, F.: New goal selection scheme for behavioral animation of intelligent virtual agents. IEICE Trans. on Inf. and Systems E88-D(5), 865–871 (2005)
Luengo, F., Iglesias, A.: A new architecture for simulating the behavior of virtual agents. In: Sloot, P.M.A., Abramson, D., Bogdanov, A.V., Gorbachev, Y.E., Dongarra, J., Zomaya, A.Y. (eds.) ICCS 2003. LNCS, vol. 2657, pp. 935–946. Springer, Heidelberg (2003)
Luengo, F., Iglesias, A.: Framework for simulating the human behavior for intelligent virtual agents. Part II: Behavioral system. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3039, pp. 237–244. Springer, Heidelberg (2004)
Monzani, J.S., Caicedo, A., Thalmann, D.: Integrating behavioral animation techniques. Computer Graphics Forum (EUROGRAPHICS’2001) 20(3), 309–318 (2001)
Raupp, S., Thalmann, D.: Hierarchical model for real time simulation of virtual human crowds. IEEE Trans. Visual. and Computer Graphics 7(2), 152–164 (2001)
Sanchez, S., Balet, O., Luga, H., Duthen, Y.: Autonomous virtual actors. In: Göbel, S., Spierling, U., Hoffmann, A., Iurgel, I., Schneider, O., Dechau, J., Feix, A. (eds.) TIDSE 2004. LNCS, vol. 3105, pp. 68–78. Springer, Heidelberg (2004)
de Sevin, E., Thalmann, D.: The complexity of testing a motivational model of action selection for virtual humans. In: Proceedings of Computer Graphics International, pp. 540–543. IEEE CS Press, Los Alamitos (2004)
Thalmann, D., Monzani, J.S.: Behavioural animation of virtual humans: what kind of law and rules? In: Proc. Computer Animation 2002, pp. 154–163. IEEE Computer Society Press, Los Alamitos (2002)
Tu, X., Terzopoulos, D.: Artificial fishes: physics, locomotion, perception, behavior. In: Proceedings of ACM SIGGRAPH’94, pp. 43–50 (1994)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Iglesias, A., Luengo, F. (2007). AI Framework for Decision Modeling in Behavioral Animation of Virtual Avatars. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2007. ICCS 2007. Lecture Notes in Computer Science, vol 4488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72586-2_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-72586-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72585-5
Online ISBN: 978-3-540-72586-2
eBook Packages: Computer ScienceComputer Science (R0)